Modifiable and Non-Modifiable Predictors of Dupuytren’s Disease

Author:

Petrov A. V.1,Medvedev G. V.2,Pushkin D. V.3,Rodomanova L. A.2,Petrova M. M.1

Affiliation:

1. V.F. Voino-Yasenetsky Krasnoyarsk State Medical University

2. R.R. Vreden National Medical Research Center for Traumatology and Orthopedics

3. St. Petersburg State University

Abstract

Dupuytren's disease (DD) is a common multifactorial disease accompanied by deformity of the hand with flexion contracture of one or more fingers, limitation of their mobility and a fixed lesion. This disease refers to disorders of the connective tissue. Objective: to generalize the results of studies of environmental risk factors for DD and update existing ideas about modifiable and non-modifiable predictors of the disease in adults. Methods. We searched for full-text English-language publications in the PubMed, Springer, Scopus, Clinical Keys, Oxford Press, Google Scholar, eLIBRARY. Results. The most significant modifiable predictors of the development of DD include (top 5): occupation; hobby; lifestyle; comorbid diseases; drugs. Non-modifiable predictors include (top 5): gender; age; ethnos; race; genetics. Genetic predictors of DD are not well understood, but the number of candidate genes responsible for the development of DD is increasing and reaches the top 50 or more candidate genes with a statistically significant association with the risk of developing DD in adults. The most studied candidate genes are DUPC1, MMP2, MMP9, TIMP1, TIMP2, WNT4, WNT7B. Discussion. Primary and secondary prevention of DD requires accounting of the mutual influence of modifiable and non-modifiable predictors in the disease development, as well as a personalized approach in planning and choosing non-surgical and surgical treatment, as well as the carriage of single nucleotide variants (SNVs) candidate genes associated with the development of DD. A promising direction in the prevention of disabling complications of DD may be the development of decision-making information programs (personalized algorithms) that take into account non-genetic and genetic predictors in a particular person, and their implementation in real clinical practice. Conclusion. Large multicenteral studies of the influence and mutual influence of modifiable and non-modifiable predictors with a single design are required in the future.

Publisher

V.M. Bekhterev National Research Medical Center for Psychiatry and Neurology

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3